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Kernel regression

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Kernel regression

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Stripping the Swiss discount curve using kernel ridge regression

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Robust discrete choice models with t-distributed kernel errors

Learning ground states of gapped quantum Hamiltonians with Kernel Methods

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

Metric learning for kernel ridge regression: assessment of molecular similarity

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Sketches, metrics and fast algorithms

Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions

Kernel Methods and Similarity Learning Applied in Computational Chemistry